MétaCan
Menu
Back to cohort
Record W4245120390 · doi:10.24124/2000/bpgub182

Writing on the web: online technology and the writers' workshop in the junior secondary classroom

2000· dissertation· en· W4245120390 on OpenAlexaff
Elizabeth McInerney Woods

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsContext (archaeology)Mathematics educationFreedmanFace (sociological concept)Peer feedbackPedagogyPsychologyComputer scienceSociologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Schools are places where students are required to perform writing acts and submit written products. A writers' workshop (WW) is one method used in schools to encourage students to write. Most would include the peer conference, the time for a student to talk about her/his writing, face-to-face, in various stages, one to one or in small groups of three to four peers. Graves (1983, 1985, 1991, 1995, 1996), Calkins (1986), and Atwell (1987) gave encouraging descriptions of their WW classrooms. Others have illuminated some of the challenges (DiPardo and Freedman, 1998; Lensmire, 1992, 1994; Morse, 1994; Rouse, 1988; Zemelman and Daniels, 1988). In particular, implementation of the peer conference has been problematic. Issues of teacher control are forefront and reinforced by the need to maintain a safe and productive classroom environment. Unlike the traditional teacher-talk dominated classroom, the peer conference creates less closely supervised opportunities for students to speak. In this restructured learning environment, the immediate peer culture becomes an important concern. The teacher cannot be sure that the classroom is a safe place for every student to share her/his work with peers (Lensmire, 1992). Despite these realities, constructivist theory stresses the importance of context and encourages active participation of students through talk and writing (Schaafsma, 1996; Doolittle, 1999; Schallert, Dodson, Benton, Reed, Amador, Lissi, Coward & Fleeman,1999). Online technology opens a new range of alternatives, and several features seem applicable to the problem of safety in the peer conference. Tornow (1997) and Bonk, Malik:owski, Angeli, and Supplee (1998) described the use of the online conference in a university setting. These authors defended the benefits of learning in a social context. Bonk et. al. (1998) saw web-based conferencing as "an electronic apprenticeship," an application of Vygotsky's negotiation of meaning within students' zone of proximal development. Three of Bakhtin's (1981) key perceptions are embodied in the WW: Through writing, the individual is able to to develop a dialogic awareness of his/her own place in the community (Brandist, 1997; Lensmire, 1994). Student stories are utterances in context, socio-linguistic narratives with an intertextual nature (Schallert et. al., 1999). However, with the reduction of autocratic control, the peer conference, like Bakhtin's carnival, has the potential to open the darker underbelly of the adolescent nature, and further serves as a caution to maintain a safe classroom environment. As researcher, I had a dual role as the teacher of the classroom under study. My goals were: ( 1) to create an online learning environment for the peer conference; (2) to peruse the peer responses to monitor class climate; (3) to assess the value of the peer conference; ( 4) to obtain students' evaluations of the online conference experience; and (5) to assess the value of the peer conference as indicated by revisions made between the draft and final copy of one piece of narrative writing. In collaboration with the project leader at the university computer center, we adapted a Weber site to meet our purposes. WebCT is a multi-dimensional communication tool developed at the University of British Columbia. A course construction template within this technology accommodated all of the functions necessary to establish the online peer conference. The main findings of this study were: ( 1) WebCT provided an appropriate online learning environment for the peer conference. In both the survey and class meeting data students confirmed that the online conference was a valuable way to construct meaning. One student commented, the assignment "gave us a thought process, not just a writing one." (2) Although one student received negative response to his story, for the vast majority of peer responses, safe environment was not a concern. However, the quality of peer responses was raised as an issue. (3) On the survey, of 22 participants, 17 students somewhat or strongly agreed that they would recommend the online conference for other students. At the last class meeting, of 18 participants present, 16 voted yes, they would like to do this project again. (4) On the survey, 18 somewhat or strongly agreed that they liked anonymous response. During class meeting discussion, students favored the use of a code name and suggested possible improvements: numbers versus names, assigned names, number only, no name and no number. Anonymous response allowed response to the writing and not to the writer, or the writer's place in the social hierarchy. (5) The concern for improved quality of peer response was reinforced as I found evidence of insufficient revision made between the draft and final copies of these narratives.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0120.009
Open science0.0020.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.271
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

Explore more

Same topicDiscourse Analysis in Language StudiesFrench-language works237,207